I am currently working as a AI Engineer with a Master's in Computing Science from the University of Alberta.
I specialize in building and deploying scalable, production-ready AI systems using LLMs, agentic workflows, RAG, evaluation harnesses, and cloud-native backend infrastructure. My current work and side projects focus on multi-agent reasoning, citation-grounded verification, hybrid retrieval, confidence scoring, and making AI systems reliable enough to survive contact with real users.
I also bring a strong engineering background across Android, BLE/IoT, Spring Boot, analytics, and mobile/backend systems. I've worked with startups and multinational corporations in fitness, home automation, and broadcasting, reaching over 10 million active users. I've delivered technical presentations to major industry leaders, including Google, Xiaomi, and Flipkart.
- π₯ Runner up: Cyber Innovation Hackathon, KPMG (2025)
- π₯ 1st Prize: UofA in Metaverse Project, University of Alberta (2023)
- π₯ 3rd Prize: AWS "Build with Serverless" Hackathon (2020)
- π Bravo Award at Tata Elxsi (2019)
- π€ Open mic speaker at Droidcon, India (2019)
- π Published Featured articles on Medium
- π Currently: Software Engineer in AI, building agentic LLM systems and citation-grounded verification tools
- π± Exploring: LLM evaluation, retrieval grounding, graph + vector + BM25 memory, and agent reliability
- π€ Working through: Making multi-agent systems more trustworthy, measurable, and cost-efficient in production
- π¬ Let's talk: Anime | Football | Agentic AI | RAG | LLM Evaluation | AI Infra | Android | AWS | FastAPI
- π Pronouns: He/Him






